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DNIF HYPERCLOUD vs ThreatQ comparison

NETMONASTERY and ThreatQuotient are both solutions in the Security Orchestration Automation and Response (SOAR) category. NETMONASTERY is ranked #29, while ThreatQuotient is ranked #22 with an average rating of 7.0. NETMONASTERY holds a 0.4% mindshare in SOAR, compared to ThreatQuotient’s 1.2% mindshare. Additionally, 85% of NETMONASTERY users are willing to recommend the solution, compared to 100% of ThreatQuotient users who would recommend it.
DNIF HYPERCLOUD
Read 8 DNIF HYPERCLOUD reviews
  • 987 Views
  • 158 Comparison Views
85% willing to recommend
ThreatQ
Read 2 ThreatQ reviews
  • 871 Views
  • 375 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

ThreatQ and DNIF HYPERCLOUD compete in the threat intelligence and security analytics sectors. ThreatQ has an advantage in pricing and customer service satisfaction, while DNIF HYPERCLOUD is stronger in features.

Features: ThreatQ provides robust threat intelligence data aggregation, streamlined data access, and integration flexibility. DNIF HYPERCLOUD offers advanced security analytics with real-time threat detection, machine learning algorithms, and comprehensive threat detection features.

Ease of Deployment and Customer Service: ThreatQ offers flexible deployment options with efficient support services and straightforward implementation. DNIF HYPERCLOUD features a cloud-first deployment with automated updates, requiring more technical expertise for setup.

Pricing and ROI: ThreatQ is perceived as cost-effective with a high return on investment. DNIF HYPERCLOUD, despite a higher setup cost, provides significant ROI through its analytics capabilities.

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To learn more, read our detailed DNIF HYPERCLOUD vs. ThreatQ Report (Updated: September 2025).
Buyer's Guide
DNIF HYPERCLOUD vs. ThreatQ
September 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

DNIF HYPERCLOUD
Ranking in Security Orchestration Automation and Response (SOAR)
29th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (49th), Security Information and Event Management (SIEM) (54th), User Entity Behavior Analytics (UEBA) (23rd)
ThreatQ
Ranking in Security Orchestration Automation and Response (SOAR)
22nd
Average Rating
7.0
Reviews Sentiment
6.6
Number of Reviews
2
Ranking in other categories
Threat Intelligence Platforms (TIP) (12th)
 

Mindshare comparison

As of October 2025, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of DNIF HYPERCLOUD is 0.4%, up from 0.4% compared to the previous year. The mindshare of ThreatQ is 1.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR) Market Share Distribution
ProductMarket Share (%)
ThreatQ1.2%
DNIF HYPERCLOUD0.4%
Other98.4%
Security Orchestration Automation and Response (SOAR)
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
Development from open sources is very valuable but a huge infrastructure is required
The solution's command line should be simpler so that routine commands can be used. The search configuration is a bit different than other OEMs or SIEM solutions like ArcSight or QRadar that are easy to search because they operate similarly. The logic is there and the solution supplies a pretty good explanation. Basically, DNIF spelled out is the opposite of FIND. You have to find commands whenever you want to search something. For example, a highway gets you to your destination but there is an alternate way people don't yet know about. Gartner or Forrester haven't yet studied it. We were a bit nervous when we were trying to get familiar with the solution. We wondered if we could realize ROI because the commands and ways of pulling data were different to us. We raised a case with the support team and their professionals provided the needed support. The command line is user friendly once you understand it. If you need immediate use, then you might want to get assistance from someone who is well-versed in methods for using key patterns to find things. Lengthier files for threat hunting or analysis are needed. The correlation happens, but exporting a large number of files to abstract them is not possible. For example, I want to present raw data to management so I should be able to customize a date range in my query and download the files.
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Yasir Akram - PeerSpot reviewer
Good reporting and pretty stable but needs to be simpler to use
The support team of ThreatQ set up a VM on our VPN, which was SlashNext's private VPN. Then we just initiated some system calls and ThreatQ provided us the configuration file with our settings (like our email, our API key, our URL, our category, etc.). They set up a VM on our private VPN cloud. And then they provided us the configuration file in which we just entered our details like our company URL, our API category, and API keys et cetera. We could just add it on the configuration file. We just uploaded it to the ThreatQ server. After running the system calls, we just initiated the ThreatQ and then performed tasks on the UI, such as categorizing the reports. If we only wanted the report for phishing, then we just manipulated the data on the UI and just extracted the reports. That's all. The deployment was complex. We used high hardware specifications. I don't remember the exact specifications, however, I recall them being high. There were some services that had some compatibility errors. That's why we had our VMs - to make sure that the customer would not face any errors. Everything's deployed with high specifications and custom specifications. That was the biggest challenge for us - to deploy on the customer VMs. On average, deployment takes 15-20 minutes if it's deployed without any errors. I was with one of the NetOps network admin during deployment. We were only two people and we just deployed and installed all services and we executed the deployment.
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I like the MITRE table, a feature I saw for the first time in the same solution. There was one MITRE tactic table, which can be used to identify threats if you have all kinds of rules enabled or if you have rules for all the tactics in the MITRE table. There are 14 tables in MITRE, and those 14 tables consist of multiple columns, tactics, and techniques. It was one of the first SIEM tools I saw that had that particular MITRE table. On that basis, you can create new rules and identify existing ones. At any point, if an alert is triggered, it will try to match it to any of those MITRE tactics. I liked that creating a workbook on MITRE business was straightforward. I also like that you can search using SQL or DQL."
"The response time on queries is super-fast."
"Great for scaling productivity for log monitoring purposes."
"The solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network."
"The most valuable feature of the solution is the number of EPS it can handle."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
More DNIF HYPERCLOUD pros
"The reporting services are great. With reporting services, if you have customers that just visit a URL you can see the result - including why it's blocked and how and how the URL was first recognized as malicious."
"Integrating the solution with our existing security tools and workflows was easy."
 

Cons

"I think DNIF HYPERCLOUD can implement the ability to export more than 100,000. At the moment, we can't go beyond that. So many times, if you're checking for the firewall logs and working on something related to authentication or network-related traffic, while that log count is low, the account goes beyond that. You can't restrict the logs or the amount of data you can export. It's very important for my situation. It would be better if they could increase the capacity of exports. Although there are many more types of searching in DNIF HYPERCLOUD, people still struggle to query out what they want because not everyone is good at SQL or DQL. The easiest way to query out in DNIF is using the GUI-based interface. But in the GUI interface, you can use operator calls. It gets tricky when you want to search for a specific type of event. You don't know where it will be passed and whether it will be consistent. In the initial phase, it's tough for us to use DNIF. You cannot pass every event in a stable DNIF. When we used that particular tool, we used to get those logs, but sometimes many things are not getting passed. So, we used to export the sheet or export the data into Excel and weigh the required details. In the next release, I would like them to improve the export of the columns and make the application more user-friendly. I would also like a threat-hunting feature in the next release."
"The solution's command line should be simpler so that routine commands can be used."
"The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time."
"There are currently some issues with machine learning plug-ins."
"Dependency on the DNIF support team was frustrating."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful."
"The EBA could be improved."
"The solution should be simpler for the end-user in terms of reporting and navigating the product."
"The tool is not user-friendly."
 

Pricing and Cost Advice

"Price-wise, the product is quite economical. I rate the solution's price as three or four on a scale of one to ten, where one is considered to be a very economically priced tool."
"The solution requires a huge infrastructure and that is costly."
"The pricing is based on the log size."
Information not available
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Top Industries

By visitors reading reviews
Transportation Company
10%
Media Company
9%
Manufacturing Company
8%
University
7%
Financial Services Firm
24%
Manufacturing Company
9%
Computer Software Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
No data available
 

Questions from the Community

What needs improvement with DNIF HYPERCLOUD?
A lot of people don't know about DNIF HYPERCLOUD, but they do know about products like Splunk, QRadar, ArcSight, and some other SIEM solutions. DNIF is not a known name in the market. From an impro...
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What is your primary use case for DNIF HYPERCLOUD?
DNIF HYPERCLOUD is a good SIEM solution. One of the tools' features is very high scalability in terms of the events generated per second. The product is aligned with the MITRE ATT&CK framework....
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What advice do you have for others considering DNIF HYPERCLOUD?
The tool's ability in the area of its analytic capabilities has enhanced our company's security poster in a good way, especially when compared to some of the other competitors in the market, like S...
See all answers
What do you like most about ThreatQ?
Integrating the solution with our existing security tools and workflows was easy.
See all answers
What needs improvement with ThreatQ?
The tool is not user-friendly. It is not beginner-friendly. It would be very difficult for a beginner to learn the tool. It will take at least two months to get familiar with it. Building the playb...
See all answers
What is your primary use case for ThreatQ?
We used the solution for threat mapping and managing IoCs.
See all answers
 

Comparisons

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Compared 23% of the time
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Fortinet FortiAnalyzer vs DNIF HYPERCLOUD
Compared 14% of the time
IBM Security QRadar vs DNIF HYPERCLOUD Logo
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Compared 11% of the time
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Compared 11% of the time
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Compared 44% of the time
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Compared 28% of the time
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Compared 14% of the time
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Compared 7% of the time
EclecticIQ vs ThreatQ Logo
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Compared 6% of the time
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Product Reports

Buyer's Guide
DNIF HYPERCLOUD
October 2025
DNIF HYPERCLOUD reportDownload DNIF HYPERCLOUD product report
Buyer's Guide
Threat Intelligence Platforms (TIP)
October 2025
ThreatQ reportDownload ThreatQ product report
 

Overview

DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.

NETMONASTERY

ThreatQ is a cybersecurity platform designed to enhance threat intelligence operations. It centralizes and manages threat data, allowing organizations to identify and respond to threats more efficiently.

ThreatQ is designed to empower security teams by personalizing threat intelligence and automation processes. It integrates with existing technologies, streamlining data collection and distribution. This promotes efficient detection, investigation, and response to security incidents, improving overall cybersecurity posture and resilience.

What are the key features of ThreatQ?
  • Data Aggregation: Centralizes threat data from multiple sources for easy access.
  • Customization: Tailors threat intelligence to suit specific security needs.
  • Automation: Streamlines repetitive security tasks to save time.
  • Integration: Seamlessly connects with existing security tools.
What benefits should users look for in reviews?
  • Improved Efficiency: Reduces time needed for threat investigation.
  • Enhanced Decision-Making: Provides actionable insights for security actions.
  • Cost Savings: Maximizes existing security resources and investments.
  • Scalability: Adapts as organizations grow and threats evolve.

ThreatQ is versatile in industries like finance and healthcare, where cybersecurity is crucial. It facilitates swift threat identification and risk management, essential for protecting sensitive data and complying with industry regulations. Its adaptability allows it to fit into diverse security architectures, making it a valuable asset across sectors.

ThreatQuotient
 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Radar, Bitdefender, Crowdstrike, FireEye, IBM Security
Buyer's Guide
DNIF HYPERCLOUD vs. ThreatQ
September 2025
Free Report: DNIF HYPERCLOUD vs. ThreatQ
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